A detailed occupant activity classification model in a residential environment using building monitoring data: Considering occupant characteristics-Reference-Cited by-同舟云学术

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A detailed occupant activity classification model in a residential environment using building monitoring data: Considering occupant characteristics

Published:2024-02 Issue: Volume:305 Page:113867
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Ho Kim Sun,Jun Moon Hyeun

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Education

Ministry of Trade, Industry and Energy

National Research Foundation of Korea

Publisher

Elsevier BV

Reference81 articles.

1. Impact of occupancy rates on the building electricity consumption in commercial buildings;Kim;Energ. Buildings,2017

2. Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants’ behavior;Kavousian;Energy,2013

3. Establishment of an optimal occupant behavior considering the energy consumption and indoor environmental quality by region;Kim;Appl. Energy,2017

4. Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data;Branco;Energ. Buildings,2004

5. Two-to-one discrepancy between measured and predicted performance of a “low-energy” office building: insights from a reconciliation based on the DOE-2 model;Norford;Energ. Buildings,1994

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A contextual approach to estimate household activities in instrumented dwellings;Journal of Building Engineering;2024-10

2. Enhanced multi-horizon occupancy prediction in smart buildings using cascaded Bi-LSTM models with integrated features;Energy and Buildings;2024-09

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